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Tracking Cholera in Coastal Regions Using Satellite Observations1
Authors:Antarpreet S Jutla  Ali S Akanda  Shafiqul Islam
Institution:1. Respectively, Doctoral Candidates (Jutla, Akanda), WE REASoN (Water and Environmental Research, Education, and Actionable Solutions Network), Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts 02155;2. Professor (Islam), Civil and Environmental Engineering, School of Engineering, Water and Diplomacy, The Fletcher School of Law and Diplomacy, Bernard M. Gordon Senior Faculty Fellow in Engineering, 113 Anderson Hall, 200 College Avenue, Tufts University, Medford, Massachusetts 02155.
Abstract:Jutla, Antarpreet S., Ali S. Akanda, and Shafiqul Islam, 2010. Tracking Cholera in Coastal Regions Using Satellite Observations. Journal of the American Water Resources Association (JAWRA) 46(4): 651-662. DOI: 10.1111/j.1752-1688.2010.00448.x Abstract: Cholera remains a significant health threat across the globe. The pattern and magnitude of the seven global pandemics suggest that cholera outbreaks primarily originate in coastal regions and then spread inland through secondary means. Cholera bacteria show strong association with plankton abundance in coastal ecosystems. This review study investigates the relationship(s) between cholera incidence and coastal processes and explores utility of using remote sensing data to track coastal plankton blooms, using chlorophyll as a surrogate variable for plankton abundance, and subsequent cholera outbreaks. Most studies over the last several decades have primarily focused on the microbiological and epidemiological understanding of cholera outbreaks. Accurate identification and mechanistic understanding of large scale climatic, geophysical, and oceanic processes governing cholera-chlorophyll relationship is important for developing cholera prediction models. Development of a holistic understanding of these processes requires long and reliable chlorophyll datasets, which are beginning to be available through satellites. We have presented a schematic pathway and a modeling framework that relate cholera with various hydroclimatic and oceanic variables for understanding disease dynamics using the latest advances in remote sensing. Satellite data, with its unprecedented spatial and temporal coverage, have potentials to monitor coastal processes and track cholera outbreaks in endemic regions.
Keywords:bacteria  surface water hydrology  remote sensing  aquatic ecology  cholera  SeaWiFS  chlorophyll  plankton
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